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So you’ve started working with neural networks and artificial intelligence (AI), but did you find it hard to choose one machine learning framework over another - like Caffe2, Caffe, TensorFlow, Microsoft Cognitive Toolkit or PyTorch? Whether you’re training your own models or using freely available ones, you’ll want to choose a framework that you stick with all the way through production.
Are you developing in the cloud? Well, your processes may soon be changing. By the end of the decade, edge computing is projected to become the dominant computing model. Peter Levine of Andreessen Horowitz has boldly predicted that cloud computing as we know it is coming to an end because developers and companies see the benefit of moving from centralized computing processes to decentralized ones.
How Will 5G Networks Impact Developers?
With excitement building about the potential for 5G networks in the coming years, you may be wondering what the technologies we’re building today will mean for you as a developer tomorrow. In this post, we’ll catch up with some of the technical innovations that will push the boundaries of LTE into the next decade, inspiring developers to create new mobile experiences and discover uncharted opportunities.
With the recent launch of the Snapdragon™ Neural Processing Engine (NPE) SDK, we previously highlighted the importance of on-device processing for time-critical AI applications. For example, the ability for self-driving cars make instant decisions - identifying and avoiding an obstacle in the road as near to the time it was detected, rather than following a trip across the network to a server in the cloud.
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